Title :
Experimental investigation of the genetic text memory using Markov chain models
Author :
Ryabko, Boris ; Usotskaya, Natalie
Author_Institution :
Inst. of Comput. Technol., Siberian Branch of RAS, Novosibirsk
Abstract :
The statistical structure of DNA-sequences is of a great interest to molecular biology, genetics and theory of evolution. One of the approaches is sequence modeling using Markov processes of different orders, and further statistical estimation of their parameters. This approach is evolved in the paper and the test for serial independence, suggested by Ryabko, Astola (Stat. Methodology, 2006), is used to investigate the genetic text ldquomemoryrdquo (or connectivity) in order to determine, if it stabilizes or not while the length of the considered genetic text part is increasing.
Keywords :
DNA; Markov processes; biology computing; estimation theory; genetics; parameter estimation; sequences; DNA sequences; Markov chain models; genetic text memory; parameter estimation; sequence modeling; statistical structure; Biological system modeling; DNA; Data compression; Entropy; Evolution (biology); Genetics; Markov processes; Region 8; Sequences; Testing;
Conference_Titel :
Computational Technologies in Electrical and Electronics Engineering, 2008. SIBIRCON 2008. IEEE Region 8 International Conference on
Conference_Location :
Novosibirsk
Print_ISBN :
978-1-4244-2133-6
Electronic_ISBN :
978-1-4244-2134-3
DOI :
10.1109/SIBIRCON.2008.4602593
